Christopher G. Chute

32.5k total citations · 6 hit papers
351 papers, 14.9k citations indexed

About

Christopher G. Chute is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Christopher G. Chute has authored 351 papers receiving a total of 14.9k indexed citations (citations by other indexed papers that have themselves been cited), including 192 papers in Molecular Biology, 156 papers in Artificial Intelligence and 63 papers in Health Information Management. Recurrent topics in Christopher G. Chute's work include Biomedical Text Mining and Ontologies (190 papers), Semantic Web and Ontologies (100 papers) and Natural Language Processing Techniques (42 papers). Christopher G. Chute is often cited by papers focused on Biomedical Text Mining and Ontologies (190 papers), Semantic Web and Ontologies (100 papers) and Natural Language Processing Techniques (42 papers). Christopher G. Chute collaborates with scholars based in United States, United Kingdom and Canada. Christopher G. Chute's co-authors include Steven J. Jacobsen, Serguei Pakhomov, Sunghwan Sohn, Philip V. Ogren, Guergana Savova, Cynthia J. Girman, Laurel A. Panser, Graham A. Colditz, Joseph E. Oesterling and Jyotishman Pathak and has published in prestigious journals such as New England Journal of Medicine, JAMA and Nucleic Acids Research.

In The Last Decade

Christopher G. Chute

340 papers receiving 14.1k citations

Hit Papers

Mayo clinical Text Analysis and Knowl... 1990 2026 2002 2014 2010 1990 1993 2009 2021 400 800 1.2k

Peers

Christopher G. Chute
Comparison fields: 5 of 205
  • Molecular Biology 5.5k
  • Artificial Intelligence 4.8k
  • Pulmonary and Respiratory Medicine 2.0k
  • Health Information Management 2.0k
  • Urology 1.8k
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Citations per field, relative to Christopher G. Chute
Christopher G. Chute · 1×
Citations per year, relative to Christopher G. Chute
Christopher G. Chute · 1×

Countries citing papers authored by Christopher G. Chute

Since Specialization
Citations

This map shows the geographic impact of Christopher G. Chute's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christopher G. Chute with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher G. Chute more than expected).

Fields of papers citing papers by Christopher G. Chute

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher G. Chute. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christopher G. Chute. The network helps show where Christopher G. Chute may publish in the future.

Co-authorship network of co-authors of Christopher G. Chute

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher G. Chute. A scholar is included among the top collaborators of Christopher G. Chute based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher G. Chute. Christopher G. Chute is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 2
6 1
7 18
8 3
9 25
10 3
11 20
12 24
13 22
14
A Proposal Provenance Model for ICD-11 Revision Beta Phase.
0
15
The National Center for Biomedical Ontology: Advancing Biomedicine through Structured \nOrganization of Scientific Knowledge
110
16 26
17
Metaphrase: Achieving Formalized EMR Problem Lists from Informal Input.
2
18 80
19
The non-relationship of urinary symptoms,prostate volume,and uroflow in a population based sample of men
6
20 40

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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